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In this contribution, cylindrical samples consisting of monodisperse soft(rubber) and stiff (glass) particles are pre-stressed under uniaxialcompression. Acoustic P-waves at ultrasound frequencies are superimposed intoprepared samples with different soft-stiff volume fractions. Earlierinvestigations showed the importance of particles networks, i.e. force chains,in controlling the effective mechanical properties of particulate systems.Measured P-wave modulus showed a significant decline while more soft particlesare added due to a change in microstructure. However, for small contents ofsoft particles, it could be observed that the P-wave modulus is increasing. Forthe understanding of such kinds of effects, detailed insight into themicrostructure of the system is required. To gain this information and link itto the effective properties, we made use of high-resolution micro X-rayComputed Tomography (micro-XRCT) imaging and combined it with the classicalstiffness characterization. Both performed in situ meaning inside thelaboratory-based XRCT scanner. With micro-XRCT imaging, the granularmicrostructure can be visualized in 3d and characterized subsequently. Bypost-processing of the data, the individual grains of the particulate systemscould be uniquely identified. Finally, the contact network of the packingswhich connects the center of particles was established to demonstrate thenetwork transition from stiff- to soft-dominated regimes. This has allowed forunprecedented observations and a renewed understanding of particulate systems.It has been demonstrated that micro-XRCT scans of particles packings can beanalyzed and compared in 3d to gain extensive information on the scale of thesingle particles. Here, the in situ setup and workflow from the start ofacquiring images in situ till the post-processing of the image data isexplained and demonstrated by selected results.

Visualizing particle networks in granular media by in situ X-ray computed tomography